Using AI-Driven Triaging to Optimise Clinical Workflows in Non-Emergency Outpatient Settings: A Real-World Case Study Concerning the Screening of Tuberculosis. | D2R Server publishing the DBLP Bibliography Database, hosted at L3S Research Center

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dc:creator	<https://dblp.l3s.de/d2r/resource/authors/Neysa_Petrina>
dc:creator	<https://dblp.l3s.de/d2r/resource/authors/Noel_Young>
dc:creator	<https://dblp.l3s.de/d2r/resource/authors/Simon_K._Poon>
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dcterms:issued	2023 (xsd:gYear)
rdfs:label	Using AI-Driven Triaging to Optimise Clinical Workflows in Non-Emergency Outpatient Settings: A Real-World Case Study Concerning the Screening of Tuberculosis. (xsd:string)
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foaf:maker	<https://dblp.l3s.de/d2r/resource/authors/Neysa_Petrina>
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dc:title	Using AI-Driven Triaging to Optimise Clinical Workflows in Non-Emergency Outpatient Settings: A Real-World Case Study Concerning the Screening of Tuberculosis. (xsd:string)
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